Title :
Wavelet Domain Image Restoration Algorithm using Classified Hidden Markov Tree Model
Author :
Zhu, Yaping ; Shen, Tingzhi ; Cui, Yu
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol.
Abstract :
An image restoration algorithm based on classified hidden Markov tree (CHMT) model in the wavelet domain is proposed, faced with the non-stationary property of real-world images and the difficulty of computation problem in image recovery. In light of Bayesian framework of image restoration method, CHMT model is used as a priori information of image in the wavelet domain, and regularization restriction is made to recover image. The CHMT model has spatial adaptability, which makes the modeling more accurate. A classified simplified method is presented, to makes it easy to find solutions of recovery equation. Experimental results show that, this algorithm has a reasonable computational complexity, can effectively preserve edge and pointed information, and the restoration quality is improved significantly
Keywords :
Bayes methods; hidden Markov models; image restoration; wavelet transforms; Bayesian framework; a priori information; classified hidden Markov tree model; edge information; image quality; image recovery; pointed information; regularization restriction; spatial adaptability; wavelet domain image restoration; AWGN; Bayesian methods; Classification tree analysis; Deconvolution; Degradation; Equations; Hidden Markov models; Image restoration; Wavelet coefficients; Wavelet domain; Bayesian; classified hidden Markov tree model; image restoration; wavelet;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713857
